Difference between revisions of "Algorithm:UNC:DTI:Population Analysis"
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Revision as of 19:58, 2 April 2007
Home < Algorithm:UNC:DTI:Population AnalysisDescription
Our methodology for population analysis of DT-MRI is based on unbiased non-rigid registration of a population to a common coordinate system. The registration jointly produces an average DTI atlas, which is unbiased with respect to the choice of a template im- age, along with diffeomorphic correspondence between each image. The registration image match metric uses a feature detector for thin fiber structures of white matter, and interpolation and averaging of diffusion tensors use the Riemannian symmetric space framework. The anatomi- cally significant correspondence provides a basis for comparison of tensor features and fiber tract geometry in clinical studies.
Publications
- Casey Goodlett, Brad Davis, Remi Jean, John Gilmore, Guido Gerig. Improved Correspondence for DTI Population Studies via Unbiased Atlas Building. Proc. MICCAI 2006, Springer LNCS v. 4191, pp. 260 - 267.PDF
